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利用年龄-时期-队列-国家模型分解时间对生物技术社会可接受性的影响。

Decomposing the effects of time on the social acceptability of biotechnology using age-period-cohort-country models.

机构信息

Agrocampus Ouest, France.

Oniris, France.

出版信息

Public Underst Sci. 2017 Aug;26(6):650-670. doi: 10.1177/0963662515622394. Epub 2016 Jan 11.

Abstract

The study of European attitudes toward biotechnologies underlines a situation that is relatively contrasting in Europe. However, as different effects of time can influence the social attitudes (a life-cycle effect, a generational effect, and an exogenous temporal effect potentially affecting the entire population), an appropriate methodology should be used. To this end, age-period-cohort-country models have thus been estimated based on Eurobarometer data from 1991 onward. Applied to different data subsets, these models give similar results underlining the importance of the life-cycle effects as well as the heterogeneity of the link between political affiliation and biotechnologies attitudes across the European countries.

摘要

研究欧洲对生物技术的态度突显了欧洲相对矛盾的情况。然而,由于时间的不同影响可能会影响社会态度(生命周期效应、代际效应和潜在影响整个人口的外生时间效应),因此应该使用适当的方法。为此,基于 1991 年以来的欧洲民意调查数据,估计了年龄-时期-队列-国家模型。将这些模型应用于不同的数据集,得到了相似的结果,突出了生命周期效应的重要性以及欧洲各国政治派别与生物技术态度之间联系的异质性。

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